The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 12, 2022

Filed:

Jun. 29, 2017
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Mayur Hemani, Delhi, IN;

Balaji Krishnamurthy, Noida, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/48 (2019.01); G06F 3/0482 (2013.01); G06F 16/36 (2019.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01);
U.S. Cl.
CPC ...
G06F 16/48 (2019.01); G06F 3/0482 (2013.01); G06F 16/3322 (2019.01); G06F 16/3334 (2019.01); G06F 16/3338 (2019.01); G06F 16/374 (2019.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01);
Abstract

Automated digital asset tagging techniques and systems are described that support use of multiple vocabulary sets. In one example, a plurality of digital assets are obtained having first-vocabulary tags taken from a first-vocabulary set. Second-vocabulary tags taken from a second-vocabulary set are assigned to the plurality of digital assets through machine learning. A determination is made that at least one first-vocabulary tag includes a plurality of visual classes based on the assignment of at least one second-vocabulary tag. Digital assets are collected from the plurality of digital assets that correspond to one visual class of the plurality of visual classes. The model is generated using machine learning based on the collected digital assets.


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